Difference between revisions of "NA-MIC Internal Collaborations:fMRIAnalysis"

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=== Functional Activation Analysis ===
 
=== Functional Activation Analysis ===
  
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In this project we study the application of model-based clustering algorithms in identification of functional connectivity in the brain. [[Projects:fMRIClustering|More...]]
 
In this project we study the application of model-based clustering algorithms in identification of functional connectivity in the brain. [[Projects:fMRIClustering|More...]]
  
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<font color="red">'''New: '''</font>  
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<font color="red">'''New: '''</font> AA. Venkataraman, K.R.A Van Dijk, R.L. Buckner, and P. Golland. Exploring functional connectivity in fMRI via clustering. In Proc. ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing, 441-444, 2009.
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1) D. Lashkari and P. Golland, Exploratory fMRI Analysis without Spatial Normalization. Accepted to IPMI: International Conference on Information Processing and Medical Imaging, 2009.
 
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2) A. Venkataraman, K.R.A. Van Dijk, R.L. Buckner, P. Golland. Exploring Functional Connectivity in fMRI via Clustering. Accepted to ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing,2009.
 
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== [[Projects:NeuralSubstratesOfApathy|Neural Substrates of Apathy]] ==
 
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We recently observed reduced volume of the frontal lobe in patients with schizophrenia having high levels of apathy (link to journal below). In the present investigation we are extending our study of the structural correlates of apathy in schizophrenia using the NAMIC toolkit with an emphasis on basal ganglia.  [[Projects:NeuralSubstratesOfApathy|More...]]
 
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== [[Projects:NeuralSubstratesOfWorkingMemoryInSchizophrenia|Neural Substrates of Working Memory in Schizophrenia]] ==
 
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This project assesses working memory using an auditory verbal version of the n-back task paradigm. Three conditions are presented in blocks in counterbalanced order with increasing working memory load demands (0-, 1-, 2- and 3-back). [[Projects:NeuralSubstratesOfWorkingMemoryInSchizophrenia|More...]]
 
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<font color="red">'''New: '''</font> D. Lashkari and P. Golland. Exploratory fMRI Analysis without Spatial Normalization. In Proc. IPMI: International Conference on Information Processing and Medical Imaging, LNCS 5636:398-410, 2009. '''Honorable Mention for the Erbsmann Award'''.
  
 
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== [[Projects:fMRIDetection|fMRI Detection and Analysis]] ==
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== [[Projects:FieldmapFreeDistortionCorrection|Fieldmap-Free EPI Distortion Correction]] ==
  
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We are exploring algorithms for improved fMRI detection and interpretation by incorporting spatial priors and anatomical information to guide the detection. [[Projects:fMRIDetection|More...]]
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In this project we aim to improve the EPI distortion correction algorithms [[Projects:FieldmapFreeDistortionCorrection|More...]]
  
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<font color="red">'''New: '''</font>  Poynton C., Jenkinson M., Wells III W. Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data. MICCAI 2009.
  
  
 
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== [[Projects:BrainActivationDuringContinuousVerbalEncodingAndRecognitionTaskInSchizophrenia|Brain Activation during Continuous Verbal Encoding and Recognition Task in Schizophrenia]] ==
 
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This project employs an event-related auditory verbal episodic memory probe targeting medial temporal and DLPFC circuitry. The task uses a continuous performance format where concrete nouns are presented initially as new items. Words are then repeated after short or long intervals and the participant is required to make a new/old distinction. This design permits analysis of both encoding and recognition processes. [[Projects:BrainActivationDuringContinuousVerbalEncodingAndRecognitionTaskInSchizophrenia|More...]]
 
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== [[Projects:ConformalFlatteningRegistration|Conformal Flattening]] ==
 
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The goal of this project is for better visualizing and computation of neural activity from fMRI brain imagery. Also, with this technique, shapes can be mapped to shperes for shape analysis, registration or other purposes. Our technique is based on conformal mappings which map genus-zero surface: in fmri case cortical or other surfaces, onto a sphere in an angle preserving manner. [[Projects:ConformalFlatteningRegistration|More...]]
 
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Latest revision as of 18:11, 4 November 2009

Home < NA-MIC Internal Collaborations:fMRIAnalysis
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fMRI Analysis

Functional Activation Analysis

Mit fmri clustering parcellation2 xsub.png

fMRI clustering

In this project we study the application of model-based clustering algorithms in identification of functional connectivity in the brain. More...

New: AA. Venkataraman, K.R.A Van Dijk, R.L. Buckner, and P. Golland. Exploring functional connectivity in fMRI via clustering. In Proc. ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing, 441-444, 2009.

New: D. Lashkari and P. Golland. Exploratory fMRI Analysis without Spatial Normalization. In Proc. IPMI: International Conference on Information Processing and Medical Imaging, LNCS 5636:398-410, 2009. Honorable Mention for the Erbsmann Award.

Epi correction small.jpg

Fieldmap-Free EPI Distortion Correction

In this project we aim to improve the EPI distortion correction algorithms More...

New: Poynton C., Jenkinson M., Wells III W. Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data. MICCAI 2009.


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